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  • John and Patrick Collison on Stripe's Growth, Agent Commerce, and the Future of Software

    2 DAYS AGO

    1

    John and Patrick Collison on Stripe's Growth, Agent Commerce, and the Future of Software

    This interview with Stripe cofounders John and Patrick Collison originally aired on TBPN. They discuss Stripe's 34% growth and new employee tender offer, how agent commerce and stablecoins may require high-throughput blockchains built for millions of transactions per second, and why the economics of software are shifting from mass-produced products to bespoke, on-demand systems cooked fresh at the moment of use.   Resources: Follow TBPN on Twitter: https://x.com/tbpn Follow Patrick Collison on Twitter: https://x.com/patrickc Follow John Collison on Twitter: https://x.com/collision Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg   Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    2 days ago

    •
    20 min
  • How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

    22 HR AGO

    2

    How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

    Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault's three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.

    22 hr ago

    •
    23 min
  • The System Behind Self-Driving: Waymo’s Dmitri Dolgov

    17 APR

    3

    The System Behind Self-Driving: Waymo’s Dmitri Dolgov

    Waymo is now delivering hundreds of thousands of fully autonomous rides each week — but getting there required more than better models. It meant building a complete system for training, evaluating, and deploying a driver in the real world. In this episode — originally aired on the Cheeky Pint podcast — Waymo Co-CEO Dmitri Dolgov joins John Collison to break down how self-driving actually works today: from sensor fusion across LiDAR, radar, and cameras, to simulation, “critic” models, and the role of AI in decision-making. They also explore why full autonomy is fundamentally different from driver-assist, what it takes to scale globally, and how recent advances in AI are reshaping the path forward.   Resources: Follow Dmitri Dolgov on X - https://x.com/dmitri_dolgov Follow John Collison on X - https://x.com/collision Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg   Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    17 Apr

    •
    1hr 4min
  • Technology, Culture, and the Next AI Interface with signüll

    16 APR

    4

    Technology, Culture, and the Next AI Interface with signüll

    Erik Torenberg and Anish Acharya, general partners at a16z, speak with signüll about how technology reshapes culture, relationships, and the products we build. The conversation covers tacit knowledge versus intellectual knowledge, dating apps and their effect on human connection, AI relationships, why Claude feels artisan while other models feel utilitarian, and what consumer founders should actually care about.   Resources: Follow signüll on X: https://twitter.com/signulll Follow Anish Acharya on X: https://twitter.com/illscience Follow Erik Torenberg on X: https://twitter.com/eriktorenberg Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg   Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    16 Apr

    •
    34 min
  • TikTok

    08/04/2021

    5

    TikTok

    Tiktok: qué es y nuestra opinión

    08/04/2021

    •
    9 min
  • Trader Joe’s

    27/10/2025

    6

    Trader Joe’s

    Trader Joe's breaks every rule of modern retail. They don't do e-commerce. They don't do delivery. No sales, coupons, or loyalty programs. They only stock 4,000 SKUs versus 50,000+ at normal supermarkets. Their parking lots are famously terrible and they're constantly out of your favorite items. Shoppers brave long lines and cramped aisles while overly-friendly employees in Hawaiian shirts try to chat them up. Everything about the Trader Joe's experience seems designed to drive modern consumers away. And yet they generate $2,000+ per square foot in sales — double their nearest competitor in Whole Foods and nearly 4x the industry average — and Americans are obsessed with them. How on earth did a company that so steadfastly refuses to participate in the 21st century build the most beloved grocery chain in America? Today we tell the full story: how “Trader” Joe Coulombe started out cloning 7-Elevens in 1960s Los Angeles, pivoted to slinging hard liquor, discovered the enormous market opportunities for California wine and health food before anyone else, and ultimately built perhaps the most counter-positioned business we’ve ever studied on Acquired by doing almost everything differently than the supermarket-CPG industrial complex. Tune in for a wild voyage on the high seas of grocery retail! Sponsors: WorkOS: https://bit.ly/workos25Intapp: https://bit.ly/intappcelesteSentry: https://bit.ly/acquiredsentryAnthropic: https://bit.ly/acquiredclaude25Links: Sign up for email updates and vote on future episodes!Worldly Partners’ Multi-Decade Trader Joe’s StudyBecoming Trader JoeThe Secret Life of GroceriesBuild a Brand Like Trader Joe'sAll episode sourcesCarve Outs: AirPods Pro 3Mario Kart 8 More Acquired! Get email updates with hints on next episode and follow-ups from recent episodesJoin the SlackSubscribe to ACQ2Merch Store!© Copyright 2015-2026 ACQ, LLC ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    27/10/2025

    •
    3h 26m
  • Как работают AI-агенты для программистов: поиск кода, индексы, эффективность. Дмитрий Коваленко #82

    19 APR

    7

    Как работают AI-агенты для программистов: поиск кода, индексы, эффективность. Дмитрий Коваленко #82

    Сегодня у меня в гостях Дмитрий Коваленко, инженер, который глубоко погрузился в тему AI-агентов и оказался в центре одной из самых неожиданных точек роста современной разработки, связанной с файловым поиском. Мы обсудили, почему в эпоху агентов привычные инструменты вроде ripgrep начинают давать сбой и как меняется сама природа поиска, когда вместо человека код исследует система, выполняющая десятки запросов подряд без памяти и контекста. Полезные ссылки: https://x.com/neogoose_btw https://youtube.com/@neogoose_btw https://github.com/dmtrKovalenko Подписывайтесь на канал «Организованное программирование» в Telegram: https://ttttt.me/orgprog – Список подкаст-платформ (Apple Podcast, Google Podcast, Spotify, Яндекс.Музыка и другие): https://podcast.ru/1734325321 – Смотреть в ВК Видео: https://vkvideo.ru/video-224967259_456239287 🔹 Курсы по искусственному интеллекту: https://ru.hexlet.io/courses_artificial-intelligence 🔹Хекслет Клуб в Telegram https://t.me/HexletClubBot Также разобрали, как на самом деле работают AI-агенты. Обсудили, почему их базовая операция сводится к поиску файлов и генерации диффов, зачем нужен stateful-поиск и почему каждый лишний tool call превращается не просто в оверхед, а в прямые затраты денег и рост latency. Подробно прошлись по архитектуре, включая SIMD, индексы, биграммы, sparse-подходы и попытки переосмыслить классический full-text search под новые сценарии. Затронули и более широкий контекст: — почему LSP может оказаться не нужен агентам — как устроены MCP и tool calls под капотом — зачем агентам дополнительный контекст (git status, definitions) — почему UX таких систем не только инженерная задача, но и продуктовая — почему терминальные UI до сих пор боль — куда движутся OpenCode, Cursor и Code Agents — почему большие компании, вероятно, всё равно победят — и как меняется роль разработчика, когда код всё чаще пишет не он #программирование #ai #разработка #coding #devtools #neovim #backend #искусственныйинтеллект #opencode #aiagents @mokevnin #кириллмокевнин Как работают AI-агенты для программистов: поиск кода, индексы, эффективность. Дмитрий Коваленко #82

    19 Apr

    •
    1hr 37min
  • The Racist AI TikTok Scam That's Flooding Your Feed

    14 APR

    8

    The Racist AI TikTok Scam That's Flooding Your Feed

    Fake AI-generated Black women are flooding your social media feeds, performing self-hatred, pushing porn sites and drop shipping scams, and raking in cash for anonymous creators who'll never be held accountable. Jeremy Carrasco, the internet's go-to AI debunker, breaks down who's behind it, why platforms keep looking the other way, and why one Black student researcher's testimony made him want to do something about it. AI Blackface: Profiting on racist depictions at scale: https://www.riddance.ai/p/ai-blackface-profiting-on-racist AI videos of sexualised black women removed from TikTok after BBC investigation: https://www.bbc.com/news/articles/c070e283k8vo Bridget explains the evolution of digital Blackface from its antebellum roots in this Youtube video: https://youtu.be/yh-2il78AEA Digital rapper FN Meka and the new era of digital Blackface: https://omny.fm/shows/there-are-no-girls-on-the-internet/digital-rapper-fn-meka-and-the-new-era-of-digital Let us know what you think by emailing hello@tangoti.com or leaving a comment on Spotify. Pre-order Bridget's forthcoming audiobook about AI and intimate relationships at LoveAtFirstPrompt.com ! Follow Bridget and TANGOTI on social media!  ||  instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc ||  youtube.com/@ThereAreNoGirlsOnTheInternet || bsky.app/profile/tangoti.bsky.social  See omnystudio.com/listener for privacy information.

    14 Apr

    •
    53 min
  • Who Broke the Internet? | E2: Ctrl, Ctrl, Ctrl

    SEASON 5, EPISODE 2

    9

    Who Broke the Internet? | E2: Ctrl, Ctrl, Ctrl

    In 1998, the United States Congress tried to tame the wild internet with a new law: the Digital Millennium Copyright Act. But buried in its fine print was a provision that would end up giving tech giants ultimate legal protection and control, and stop innovators from fixing what's broken. Host Cory Doctorow traces how a law written for a different era led to the arrest of a researcher, became the playbook for Meta's enshittification, and lets platforms degrade your online life today — protecting them while they do it.   Guests in this episode include Seth Schoen and Pam Samuelson. Archival recordings feature Dmitry Sklyarov, Bruce Lehman, Al Gore, and Steve Sipress.

    S5, E2

    •
    29 min
  • Создатель Mantine: как появилась UI библиотека с 1.5 млн загрузок в неделю / Виталий Ртищев #81

    12 APR

    10

    Создатель Mantine: как появилась UI библиотека с 1.5 млн загрузок в неделю / Виталий Ртищев #81

    Сегодня у нас в гостях — Виталий Ртищев, создатель Mantine — одной из самых популярных React UI-библиотек в мире с более чем 1,5 миллиона загрузок в неделю. При этом в русскоязычном сообществе о ней знают заметно меньше, чем на Западе, где Mantine уже стал де-факто выбором для многих команд. Полезные ссылки: https://github.com/rtivital Подписывайтесь на канал «Организованное программирование» в Telegram: https://ttttt.me/orgprog – Список подкаст-платформ (Apple Podcast, Google Podcast, Spotify, Яндекс.Музыка и другие): https://podcast.ru/1734325321 – Смотреть в ВК Видео: https://vkvideo.ru/video-224967259_456239278 🔹 Курсы по искусственному интеллекту: https://ru.hexlet.io/courses_artificial-intelligence 🔹Хекслет Клуб в Telegram https://t.me/HexletClubBot В этом выпуске поговорили о том, как в одиночку построить open source проект такого масштаба: от первых версий до стабильной экосистемы компонентов, хуков и инструментов, которыми пользуются сотни тысяч разработчиков. Разобрали, какую реальную боль закрывает Mantine и чем он принципиально отличается от Chakra UI, Material UI и Tailwind-подхода. Также обсудили архитектуру современных UI-библиотек: почему «component library» — это уже не просто набор кнопок, а слой инженерных решений, как устроен баланс между готовыми компонентами и глубокой кастомизацией, и зачем вообще нужны Headless-подходы. Отдельный блок — про философию фронтенда и практику разработки: — как и почему Tailwind создаёт технический долг — есть ли место CSS-фреймворкам в мире React — когда стоит использовать готовые UI-киты, а когда идти в Headless — как проектируются сложные компоненты — как принимать решения о развитии библиотеки — почему большинство разработчиков на деле не используют «полную кастомизацию» #react #frontend #mantine #tailwind #webdev #javascript #typescript #ui #programming #opensource #reactjs #coding #webdevelopment #softwareengineering #devotional Создатель Mantine: как появилась UI библиотека с 1.5 млн загрузок в неделю / Виталий Ртищев #81

    12 Apr

    •
    1hr 12min

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  • Bermuda
  • Bolivia (Español)
  • Brasil
  • Virgin Islands, British
  • Cayman Islands
  • Chile (Español)
  • Colombia (Español)
  • Costa Rica (Español)
  • Dominica
  • República Dominicana
  • Ecuador (Español)
  • El Salvador (Español)
  • Grenada
  • Guatemala (Español)
  • Guyana
  • Honduras (Español)
  • Jamaica
  • México
  • Montserrat
  • Nicaragua (Español)
  • Panamá
  • Paraguay (Español)
  • Perú
  • St. Kitts and Nevis
  • Saint Lucia
  • St. Vincent and The Grenadines
  • Suriname
  • Trinidad and Tobago
  • Turks and Caicos
  • Uruguay (English)
  • Venezuela (Español)

The United States and Canada

  • Canada (English)
  • Canada (Français)
  • United States
  • Estados Unidos (Español México)
  • الولايات المتحدة
  • США
  • 美国 (简体中文)
  • États-Unis (Français France)
  • 미국
  • Estados Unidos (Português Brasil)
  • Hoa Kỳ
  • 美國 (繁體中文台灣)